BASIS OF SIMULTANEOUS HECKE EIGENFORMS 1. INTRODUCTION

Size: px
Start display at page:

Download "BASIS OF SIMULTANEOUS HECKE EIGENFORMS 1. INTRODUCTION"

Transcription

1 BASIS OF SIMULTANEOUS HECKE EIGENFORMS MARIA HEMPEL 1. INTRODUCTION The aim of this presentation is to show that there exist bases of simultaneous Hecke eigenforms (i.e., bases consisting of functions, which are eigenforms to all Hecke operators T n ) both of the space of cusp forms S k (Γ) and of the space of modular forms M k (Γ). To that end we will define a scalar product on S k (Γ), called the Petersson Inner Product, and show that all Hecke operators are hermitian with respect to that product. The rest will follow readily via some linear algebra. We assume familiarity with the definition of Hecke operators and Poincaré series, with their basic properties and with the corresponding notaions such as j γ (z) (cz + d) k (these have been introduced in previous talks).. CONSTRUCTION OF THE PETERSSON INNER PRODUCT Usually we define an inner product on spaces of functions via the use of the integral < f, g > f (z)g(z)c(z)dξ(z) for some region on which f and g are defined, some function c(z) and some measure dξ(z). Since we are trying to define the inner product on S k (Γ) we are dealing with functions wich are wholly defined by their values on any fundamental domain. We therefore set :. Now we have to choose a Γ -invariant integrand and measure. Let s first try to define the function c(z) such that the integrand becomes invariant under Γ. If we compute, f (γz)g(γz) j γ (z) f (z)j γ (z)g(z) j γ (z) f (z)g(z) using Im(γz) j γ (z) k Im(z),we see that, f (γz)g(γz)im(γz) k f (z)g(z)im(z) k 1

2 MARIA HEMPEL and thus set c(z) c(x + iy) : y k. To find the measure dξ(z), we guess that it is dξ(z) dξ(x + iy) y (It is in fact the Haar measure). We now show that it is invariant under the action of Γ : dξ(γz) Im(γz) d(γz) dz Im(γz) detγ j γ (z) k Im(γz) 1 j γ (z) 4 k Im(z) Finally, we have to check that our potential inner product is indeed well defined. As we saw in a previous talk f (z)y k is bounded for any function f in the space of cusp forms. By consequence f, g S k (Γ) C R + such that C f (z)g(z)y k dξ(z) f (z)g(z)y k dξ(z) 1 dξ(z) C 1 y dydx C π 1 x 3 The Integral is thus bounded for any two functions in the space of cusp forms and we are now free to define the Definition (Petersson Inner Product). For any two functions f and g in S k (Γ) we define the Petersson Inner Product as follows: < f, g > f (z)g(z)y k y Notice that the Petersson Inner Product is an indeed an inner product. Recognize also that S k (Γ) is a finite dimensional normed vector space and therefore a Hilbert space. 3. COMPLETENESS OF THE POINCARÉ SERIES In this paragraph we want to see, that the Poincaré series are generators of S k (Γ). To that end we state the following lemma: Lemma. Let f S k (Γ) and P k m be the Poincaré series of weight k with m 1. Then < f, P k m > C k,m a m

3 BASIS OF SIMULTANEOUS HECKE EIGENFORMS 3 where C k,m and a m is the m-th Fourier coefficient of f. Γ(k 1) (4πm) k 1 The proof is a calculation involving the Γ - invariance of the integral defining the Petersson Inner Product, identities of the automorphy factor studied in previous talks and unfolding of the integral. For a detailed proof see Gunning s Lectures on Modular Forms. We can now prove the following Theorem. For k > the set G : {P k m(z) m 1} generates S k (Γ). which is what we wanted. Proof. Let M be the subspace of S k (Γ) generated by G, m 1 and k >. Then f M : < f, P k m > 0 and using the above lemma we see that C k,m a m 0 Thus we see that a m 0 amounting to f 0, meaning that M {0} 4. HECKE OPERATORS ARE HERMITIAN In this section we show the following Theorem. Hecke Operators are hermitian with respect to the Petersson Inner Product. To do so we start with Step 1: Some identities For T n P m (z) n k P m (z) l1 l1 assume the following symmetry conditions: (1) () (3) with C R These may be proven by using that c l (n,m)e(lz) c m (l)e(lz) c l (m,n) c l (n,m) m 1 k c m (l,n) n 1 k c n (l,m) ( ) nl < T n P l, P m > C d 1 k c m d d (n,l) b(l) d (n,l) d k 1 a ( ) ln d

4 4 MARIA HEMPEL for f l1 a(l)e(lz) and T n f l1 b(l)e(lz), wich was proven by the previous group. Sart by showing (3) using the above lemma and then proceed to prove (1) and () by using (3). Step : Lemma. (4) < T n P m, P q >< T n P q, P m > Proof. Recall from above that < f, P m > C k,m a m Γ(k 1) (4π) k 1 m1 k a m : Am 1 k a m Using (1) and () we can therefore compute the following: < T n P m, P q > Aq 1 k a q An k q 1 k c q (m,n) An k n 1 k c n (m,q) An k n 1 k c n (q,m) An k m 1 k c m (q.n) < T n P q, P m > Step 3: We can finally prove the theorem Proof. Let f N n1 a np n andg M m1 a mp m be two cusp forms. First observe that < P n, T k P m > R. This follows from (3) and < P a, P b >< T 1 P a, P b >< T 1 P b, P a >< P b, P a > With this and (4) we can therefore compute the following: < T l f, g >< T l N n1 a n P n, N M n1 m1 N M n1 m1 M N m1 n1 N M m1 a m P m > a n b m < T l P n, P m > a n b m < T l P m, P n > a n b m < P n, T l P m > M < a n P n, T l b m P m > n1 m1 < f, T l g >

5 BASIS OF SIMULTANEOUS HECKE EIGENFORMS 5 5. HARVEST Theorem. For every positive integer n there exists a basis of eigenforms of T n for S k (Γ). This hodls since by Linear Algebra there is an orthonormal basis of eigenvectors for every hermitian liner operator on a finite dimensional vector space. Theorem. There is a basis of simulaneous Hecke eigenforms for S k (Γ). This also follows from a theorem of Linear Algebra, requiring the Hermitian operator to commute. This was indeed proven by the previous group. Corollary. There is a basis of simultaneous eigenforms for M k (Γ)

Hecke-Operators. Alex Maier. 20th January 2007

Hecke-Operators. Alex Maier. 20th January 2007 Hecke-Operators Alex Maier 20th January 2007 Abstract At the beginning we introduce the Hecke-operators and analyse some of their properties. Then we have a look at normalized eigenfunctions of them and

More information

MATH 423 Linear Algebra II Lecture 33: Diagonalization of normal operators.

MATH 423 Linear Algebra II Lecture 33: Diagonalization of normal operators. MATH 423 Linear Algebra II Lecture 33: Diagonalization of normal operators. Adjoint operator and adjoint matrix Given a linear operator L on an inner product space V, the adjoint of L is a transformation

More information

Introduction to Modular Forms

Introduction to Modular Forms Introduction to Modular Forms Lectures by Dipendra Prasad Written by Sagar Shrivastava School and Workshop on Modular Forms and Black Holes (January 5-14, 2017) National Institute of Science Education

More information

Lecture 12 : Hecke Operators and Hecke theory

Lecture 12 : Hecke Operators and Hecke theory Math 726: L-functions and modular forms Fall 2011 Lecture 12 : Hecke Operators and Hecke theory Instructor: Henri Darmon Notes written by: Celine Maistret Recall that we found a formula for multiplication

More information

Cusp forms and the Eichler-Shimura relation

Cusp forms and the Eichler-Shimura relation Cusp forms and the Eichler-Shimura relation September 9, 2013 In the last lecture we observed that the family of modular curves X 0 (N) has a model over the rationals. In this lecture we use this fact

More information

A class of non-holomorphic modular forms

A class of non-holomorphic modular forms A class of non-holomorphic modular forms Francis Brown All Souls College, Oxford (IHES, Bures-Sur-Yvette) Modular forms are everywhere MPIM 22nd May 2017 1 / 35 Two motivations 1 Do there exist modular

More information

Lifting Puzzles for Siegel Modular Forms

Lifting Puzzles for Siegel Modular Forms Department of Mathematics University of California, Los Angeles April, 007 What are Siegel modular forms Multivariate modular forms Arithmetic group Upper half-plane Automorphy factor Growth condition

More information

On Rankin-Cohen Brackets of Eigenforms

On Rankin-Cohen Brackets of Eigenforms On Rankin-Cohen Brackets of Eigenforms Dominic Lanphier and Ramin Takloo-Bighash July 2, 2003 1 Introduction Let f and g be two modular forms of weights k and l on a congruence subgroup Γ. The n th Rankin-Cohen

More information

REGULARIZED PETERSSON INNER PRODUCTS FOR MEROMORPHIC MODULAR FORMS

REGULARIZED PETERSSON INNER PRODUCTS FOR MEROMORPHIC MODULAR FORMS REGULARIZED PETERSSON INNER PRODUCTS FOR MEROMORPHIC MODULAR FORMS BEN KANE Abstract. We investigate the history of inner products within the theory of modular forms. We first give the history of the applications

More information

Mock modular forms and their shadows

Mock modular forms and their shadows Mock modular forms and their shadows Zachary A. Kent Emory University Classical Eichler-Shimura Theory Modular Forms Basic Definitions Classical Eichler-Shimura Theory Modular Forms Basic Definitions Notation:

More information

Vectors in Function Spaces

Vectors in Function Spaces Jim Lambers MAT 66 Spring Semester 15-16 Lecture 18 Notes These notes correspond to Section 6.3 in the text. Vectors in Function Spaces We begin with some necessary terminology. A vector space V, also

More information

The Galois Representation Associated to Modular Forms (Part I)

The Galois Representation Associated to Modular Forms (Part I) The Galois Representation Associated to Modular Forms (Part I) Modular Curves, Modular Forms and Hecke Operators Chloe Martindale May 20, 2015 Contents 1 Motivation and Background 1 2 Modular Curves 2

More information

3 Orthogonality and Fourier series

3 Orthogonality and Fourier series 3 Orthogonality and Fourier series We now turn to the concept of orthogonality which is a key concept in inner product spaces and Hilbert spaces. We start with some basic definitions. Definition 3.1. Let

More information

The following definition is fundamental.

The following definition is fundamental. 1. Some Basics from Linear Algebra With these notes, I will try and clarify certain topics that I only quickly mention in class. First and foremost, I will assume that you are familiar with many basic

More information

Fall f(x)g(x) dx. The starting place for the theory of Fourier series is that the family of functions {e inx } n= is orthonormal, that is

Fall f(x)g(x) dx. The starting place for the theory of Fourier series is that the family of functions {e inx } n= is orthonormal, that is 18.103 Fall 2013 1. Fourier Series, Part 1. We will consider several function spaces during our study of Fourier series. When we talk about L p ((, π)), it will be convenient to include the factor 1/ in

More information

MORE NOTES FOR MATH 823, FALL 2007

MORE NOTES FOR MATH 823, FALL 2007 MORE NOTES FOR MATH 83, FALL 007 Prop 1.1 Prop 1. Lemma 1.3 1. The Siegel upper half space 1.1. The Siegel upper half space and its Bergman kernel. The Siegel upper half space is the domain { U n+1 z C

More information

p-adic families of modular forms

p-adic families of modular forms April 3, 2009 Plan Background and Motivation Lecture 1 Background and Motivation Overconvergent p-adic modular forms The canonical subgroup and the U p operator Families of p-adic modular forms - Strategies

More information

REGULARIZED INNER PRODUCTS AND WEAKLY HOLOMORPHIC HECKE EIGENFORMS

REGULARIZED INNER PRODUCTS AND WEAKLY HOLOMORPHIC HECKE EIGENFORMS REGULARIZED INNER PRODUCTS AND WEAKLY HOLOMORPHIC HECKE EIGENFORMS KATHRIN BRINGMANN AND BEN KANE 1. Introduction and statement of results For κ Z, denote by M 2κ! the space of weight 2κ weakly holomorphic

More information

AUTOMORPHIC FORMS NOTES, PART I

AUTOMORPHIC FORMS NOTES, PART I AUTOMORPHIC FORMS NOTES, PART I DANIEL LITT The goal of these notes are to take the classical theory of modular/automorphic forms on the upper half plane and reinterpret them, first in terms L 2 (Γ \ SL(2,

More information

RANKIN-COHEN BRACKETS AND SERRE DERIVATIVES AS POINCARÉ SERIES. φ k M = 1 2

RANKIN-COHEN BRACKETS AND SERRE DERIVATIVES AS POINCARÉ SERIES. φ k M = 1 2 RANKIN-COHEN BRACKETS AND SERRE DERIVATIVES AS POINCARÉ SERIES BRANDON WILLIAMS Abstract. We give expressions for the Serre derivatives of Eisenstein and Poincaré series as well as their Rankin-Cohen brackets

More information

m + q = p + n p + s = r + q m + q + p + s = p + n + r + q. (m + s) + (p + q) = (r + n) + (p + q) m + s = r + n.

m + q = p + n p + s = r + q m + q + p + s = p + n + r + q. (m + s) + (p + q) = (r + n) + (p + q) m + s = r + n. 9 The Basic idea 1 = { 0, 1, 1, 2, 2, 3,..., n, n + 1,...} 5 = { 0, 5, 1, 6, 2, 7,..., n, n + 5,...} Definition 9.1. Let be the binary relation on ω ω defined by m, n p, q iff m + q = p + n. Theorem 9.2.

More information

DS-GA 1002 Lecture notes 0 Fall Linear Algebra. These notes provide a review of basic concepts in linear algebra.

DS-GA 1002 Lecture notes 0 Fall Linear Algebra. These notes provide a review of basic concepts in linear algebra. DS-GA 1002 Lecture notes 0 Fall 2016 Linear Algebra These notes provide a review of basic concepts in linear algebra. 1 Vector spaces You are no doubt familiar with vectors in R 2 or R 3, i.e. [ ] 1.1

More information

The Galois Representation Attached to a Hilbert Modular Form

The Galois Representation Attached to a Hilbert Modular Form The Galois Representation Attached to a Hilbert Modular Form Gabor Wiese Essen, 17 July 2008 Abstract This talk is the last one in the Essen seminar on quaternion algebras. It is based on the paper by

More information

TOEPLITZ OPERATORS. Toeplitz studied infinite matrices with NW-SE diagonals constant. f e C :

TOEPLITZ OPERATORS. Toeplitz studied infinite matrices with NW-SE diagonals constant. f e C : TOEPLITZ OPERATORS EFTON PARK 1. Introduction to Toeplitz Operators Otto Toeplitz lived from 1881-1940 in Goettingen, and it was pretty rough there, so he eventually went to Palestine and eventually contracted

More information

A linear algebra proof of the fundamental theorem of algebra

A linear algebra proof of the fundamental theorem of algebra A linear algebra proof of the fundamental theorem of algebra Andrés E. Caicedo May 18, 2010 Abstract We present a recent proof due to Harm Derksen, that any linear operator in a complex finite dimensional

More information

Orthonormal Systems. Fourier Series

Orthonormal Systems. Fourier Series Yuliya Gorb Orthonormal Systems. Fourier Series October 31 November 3, 2017 Yuliya Gorb Orthonormal Systems (cont.) Let {e α} α A be an orthonormal set of points in an inner product space X. Then {e α}

More information

A linear algebra proof of the fundamental theorem of algebra

A linear algebra proof of the fundamental theorem of algebra A linear algebra proof of the fundamental theorem of algebra Andrés E. Caicedo May 18, 2010 Abstract We present a recent proof due to Harm Derksen, that any linear operator in a complex finite dimensional

More information

Hilbert Spaces. Contents

Hilbert Spaces. Contents Hilbert Spaces Contents 1 Introducing Hilbert Spaces 1 1.1 Basic definitions........................... 1 1.2 Results about norms and inner products.............. 3 1.3 Banach and Hilbert spaces......................

More information

Final A. Problem Points Score Total 100. Math115A Nadja Hempel 03/23/2017

Final A. Problem Points Score Total 100. Math115A Nadja Hempel 03/23/2017 Final A Math115A Nadja Hempel 03/23/2017 nadja@math.ucla.edu Name: UID: Problem Points Score 1 10 2 20 3 5 4 5 5 9 6 5 7 7 8 13 9 16 10 10 Total 100 1 2 Exercise 1. (10pt) Let T : V V be a linear transformation.

More information

REGULARIZED INNER PRODUCTS AND WEAKLY HOLOMORPHIC HECKE EIGENFORMS

REGULARIZED INNER PRODUCTS AND WEAKLY HOLOMORPHIC HECKE EIGENFORMS REGULARIZED INNER PRODUCTS AND WEAKLY HOLOMORPHIC HECKE EIGENFORMS KATHRIN BRINGMANN AND BEN KANE 1. Introduction and statement of results Hecke operators play a central role in the study of modular forms.

More information

Computer methods for Hilbert modular forms

Computer methods for Hilbert modular forms Computer methods for Hilbert modular forms John Voight University of Vermont Workshop on Computer Methods for L-functions and Automorphic Forms Centre de Récherche Mathématiques (CRM) 22 March 2010 Computer

More information

An application of the projections of C automorphic forms

An application of the projections of C automorphic forms ACTA ARITHMETICA LXXII.3 (1995) An application of the projections of C automorphic forms by Takumi Noda (Tokyo) 1. Introduction. Let k be a positive even integer and S k be the space of cusp forms of weight

More information

Hans Wenzl. 4f(x), 4x 3 + 4ax bx + 4c

Hans Wenzl. 4f(x), 4x 3 + 4ax bx + 4c MATH 104C NUMBER THEORY: NOTES Hans Wenzl 1. DUPLICATION FORMULA AND POINTS OF ORDER THREE We recall a number of useful formulas. If P i = (x i, y i ) are the points of intersection of a line with the

More information

Solution sheet 6. D-MATH Modular Forms HS 2015 Prof. Özlem Imamoglu. 1. Set Γ := SL 2 ( ) and let α GL + 2 (É).

Solution sheet 6. D-MATH Modular Forms HS 2015 Prof. Özlem Imamoglu. 1. Set Γ := SL 2 ( ) and let α GL + 2 (É). D-MATH Modular Forms HS 205 Prof. Özlem Imamoglu Solution sheet 6. Set Γ := SL 2 ( and let α GL + 2 (É. a Show that the subgroup Γ := α Γα Γis a congruence subgroup. It is enough to show that α Γα contains

More information

Hilbert Spaces. Hilbert space is a vector space with some extra structure. We start with formal (axiomatic) definition of a vector space.

Hilbert Spaces. Hilbert space is a vector space with some extra structure. We start with formal (axiomatic) definition of a vector space. Hilbert Spaces Hilbert space is a vector space with some extra structure. We start with formal (axiomatic) definition of a vector space. Vector Space. Vector space, ν, over the field of complex numbers,

More information

HECKE OPERATORS ON CERTAIN SUBSPACES OF INTEGRAL WEIGHT MODULAR FORMS.

HECKE OPERATORS ON CERTAIN SUBSPACES OF INTEGRAL WEIGHT MODULAR FORMS. HECKE OPERATORS ON CERTAIN SUBSPACES OF INTEGRAL WEIGHT MODULAR FORMS. MATTHEW BOYLAN AND KENNY BROWN Abstract. Recent works of Garvan [2] and Y. Yang [7], [8] concern a certain family of half-integral

More information

Mathematical Optimisation, Chpt 2: Linear Equations and inequalities

Mathematical Optimisation, Chpt 2: Linear Equations and inequalities Mathematical Optimisation, Chpt 2: Linear Equations and inequalities Peter J.C. Dickinson p.j.c.dickinson@utwente.nl http://dickinson.website version: 12/02/18 Monday 5th February 2018 Peter J.C. Dickinson

More information

Calculation and arithmetic significance of modular forms

Calculation and arithmetic significance of modular forms Calculation and arithmetic significance of modular forms Gabor Wiese 07/11/2014 An elliptic curve Let us consider the elliptic curve given by the (affine) equation y 2 + y = x 3 x 2 10x 20 We show its

More information

Linear algebra 2. Yoav Zemel. March 1, 2012

Linear algebra 2. Yoav Zemel. March 1, 2012 Linear algebra 2 Yoav Zemel March 1, 2012 These notes were written by Yoav Zemel. The lecturer, Shmuel Berger, should not be held responsible for any mistake. Any comments are welcome at zamsh7@gmail.com.

More information

A Motivated Introduction to Modular Forms

A Motivated Introduction to Modular Forms May 3, 2006 Outline of talk: I. Motivating questions II. Ramanujan s τ function III. Theta Series IV. Congruent Number Problem V. My Research Old Questions... What can you say about the coefficients of

More information

Theta Operators on Hecke Eigenvalues

Theta Operators on Hecke Eigenvalues Theta Operators on Hecke Eigenvalues Angus McAndrew The University of Melbourne Overview 1 Modular Forms 2 Hecke Operators 3 Theta Operators 4 Theta on Eigenvalues 5 The slide where I say thank you Modular

More information

This is the important completeness relation,

This is the important completeness relation, Observable quantities are represented by linear, hermitian operators! Compatible observables correspond to commuting operators! In addition to what was written in eqn 2.1.1, the vector corresponding to

More information

2. Signal Space Concepts

2. Signal Space Concepts 2. Signal Space Concepts R.G. Gallager The signal-space viewpoint is one of the foundations of modern digital communications. Credit for popularizing this viewpoint is often given to the classic text of

More information

V. SUBSPACES AND ORTHOGONAL PROJECTION

V. SUBSPACES AND ORTHOGONAL PROJECTION V. SUBSPACES AND ORTHOGONAL PROJECTION In this chapter we will discuss the concept of subspace of Hilbert space, introduce a series of subspaces related to Haar wavelet, explore the orthogonal projection

More information

Chapter 6 Inner product spaces

Chapter 6 Inner product spaces Chapter 6 Inner product spaces 6.1 Inner products and norms Definition 1 Let V be a vector space over F. An inner product on V is a function, : V V F such that the following conditions hold. x+z,y = x,y

More information

Lax Solution Part 4. October 27, 2016

Lax Solution Part 4.   October 27, 2016 Lax Solution Part 4 www.mathtuition88.com October 27, 2016 Textbook: Functional Analysis by Peter D. Lax Exercises: Ch 16: Q2 4. Ch 21: Q1, 2, 9, 10. Ch 28: 1, 5, 9, 10. 1 Chapter 16 Exercise 2 Let h =

More information

Lecture notes: Applied linear algebra Part 1. Version 2

Lecture notes: Applied linear algebra Part 1. Version 2 Lecture notes: Applied linear algebra Part 1. Version 2 Michael Karow Berlin University of Technology karow@math.tu-berlin.de October 2, 2008 1 Notation, basic notions and facts 1.1 Subspaces, range and

More information

Eigenvectors and Hermitian Operators

Eigenvectors and Hermitian Operators 7 71 Eigenvalues and Eigenvectors Basic Definitions Let L be a linear operator on some given vector space V A scalar λ and a nonzero vector v are referred to, respectively, as an eigenvalue and corresponding

More information

Definition 2.3. We define addition and multiplication of matrices as follows.

Definition 2.3. We define addition and multiplication of matrices as follows. 14 Chapter 2 Matrices In this chapter, we review matrix algebra from Linear Algebra I, consider row and column operations on matrices, and define the rank of a matrix. Along the way prove that the row

More information

Designing Information Devices and Systems I Spring 2016 Official Lecture Notes Note 21

Designing Information Devices and Systems I Spring 2016 Official Lecture Notes Note 21 EECS 6A Designing Information Devices and Systems I Spring 26 Official Lecture Notes Note 2 Introduction In this lecture note, we will introduce the last topics of this semester, change of basis and diagonalization.

More information

On the zeros of certain modular forms

On the zeros of certain modular forms On the zeros of certain modular forms Masanobu Kaneko Dedicated to Professor Yasutaka Ihara on the occasion of his 60th birthday. The aim of this short note is to list several families of modular forms

More information

1 Hecke Operators. 1.1 Classical Setting

1 Hecke Operators. 1.1 Classical Setting LECTURE 9: ADELIZATION OF MODULAR FORMS PART II LECTURE BY JONATHAN LOVE AND DAVID SHERMAN STANFORD NUMBER THEORY LEARNING SEMINAR DECEMBER 5, 207 NOTES BY DAN DORE Hecke Operators. Classical Setting First,

More information

Quantum Information & Quantum Computing

Quantum Information & Quantum Computing Math 478, Phys 478, CS4803, February 9, 006 1 Georgia Tech Math, Physics & Computing Math 478, Phys 478, CS4803 Quantum Information & Quantum Computing Problems Set 1 Due February 9, 006 Part I : 1. Read

More information

08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms

08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms (February 24, 2017) 08a. Operators on Hilbert spaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/real/notes 2016-17/08a-ops

More information

Chapter 2 The Group U(1) and its Representations

Chapter 2 The Group U(1) and its Representations Chapter 2 The Group U(1) and its Representations The simplest example of a Lie group is the group of rotations of the plane, with elements parametrized by a single number, the angle of rotation θ. It is

More information

Classical Modular Forms

Classical Modular Forms Classical Modular Forms T.N. Venkataramana School of Mathematics, Tata Institute of Fundamental Research, Colaba, Mumbai, India Lectures given at the School on Automorphic Forms on GL(n) Trieste, 31 July

More information

Chapter III. Quantum Computation. Mathematical preliminaries. A.1 Complex numbers. A.2 Linear algebra review

Chapter III. Quantum Computation. Mathematical preliminaries. A.1 Complex numbers. A.2 Linear algebra review Chapter III Quantum Computation These lecture notes are exclusively for the use of students in Prof. MacLennan s Unconventional Computation course. c 2017, B. J. MacLennan, EECS, University of Tennessee,

More information

Math Linear Algebra II. 1. Inner Products and Norms

Math Linear Algebra II. 1. Inner Products and Norms Math 342 - Linear Algebra II Notes 1. Inner Products and Norms One knows from a basic introduction to vectors in R n Math 254 at OSU) that the length of a vector x = x 1 x 2... x n ) T R n, denoted x,

More information

Honours Research Project: Modular forms and Galois representations mod p, and the nilpotent action of Hecke operators mod 2

Honours Research Project: Modular forms and Galois representations mod p, and the nilpotent action of Hecke operators mod 2 Honours Research Project: Modular forms and Galois representations mod p, and the nilpotent action of Hecke operators mod 2 Mathilde Gerbelli-Gauthier May 20, 2014 Abstract We study Hecke operators acting

More information

ALGEBRA QUALIFYING EXAM PROBLEMS LINEAR ALGEBRA

ALGEBRA QUALIFYING EXAM PROBLEMS LINEAR ALGEBRA ALGEBRA QUALIFYING EXAM PROBLEMS LINEAR ALGEBRA Kent State University Department of Mathematical Sciences Compiled and Maintained by Donald L. White Version: August 29, 2017 CONTENTS LINEAR ALGEBRA AND

More information

REPRESENTATION THEORY WEEK 7

REPRESENTATION THEORY WEEK 7 REPRESENTATION THEORY WEEK 7 1. Characters of L k and S n A character of an irreducible representation of L k is a polynomial function constant on every conjugacy class. Since the set of diagonalizable

More information

Symmetric and self-adjoint matrices

Symmetric and self-adjoint matrices Symmetric and self-adjoint matrices A matrix A in M n (F) is called symmetric if A T = A, ie A ij = A ji for each i, j; and self-adjoint if A = A, ie A ij = A ji or each i, j Note for A in M n (R) that

More information

LECTURES 4 & 5: POINCARÉ SERIES

LECTURES 4 & 5: POINCARÉ SERIES LECTURES 4 & 5: POINCARÉ SERIES ANDREW SNOWDEN These are notes from my two letures on Poinaré series from the 2016 Learning Seminar on Borherds produts. I begin by reviewing lassial Poinaré series, then

More information

Spectral Theorem for Self-adjoint Linear Operators

Spectral Theorem for Self-adjoint Linear Operators Notes for the undergraduate lecture by David Adams. (These are the notes I would write if I was teaching a course on this topic. I have included more material than I will cover in the 45 minute lecture;

More information

2. Review of Linear Algebra

2. Review of Linear Algebra 2. Review of Linear Algebra ECE 83, Spring 217 In this course we will represent signals as vectors and operators (e.g., filters, transforms, etc) as matrices. This lecture reviews basic concepts from linear

More information

Page 404. Lecture 22: Simple Harmonic Oscillator: Energy Basis Date Given: 2008/11/19 Date Revised: 2008/11/19

Page 404. Lecture 22: Simple Harmonic Oscillator: Energy Basis Date Given: 2008/11/19 Date Revised: 2008/11/19 Page 404 Lecture : Simple Harmonic Oscillator: Energy Basis Date Given: 008/11/19 Date Revised: 008/11/19 Coordinate Basis Section 6. The One-Dimensional Simple Harmonic Oscillator: Coordinate Basis Page

More information

1 Math 241A-B Homework Problem List for F2015 and W2016

1 Math 241A-B Homework Problem List for F2015 and W2016 1 Math 241A-B Homework Problem List for F2015 W2016 1.1 Homework 1. Due Wednesday, October 7, 2015 Notation 1.1 Let U be any set, g be a positive function on U, Y be a normed space. For any f : U Y let

More information

Quantum Computing Lecture 2. Review of Linear Algebra

Quantum Computing Lecture 2. Review of Linear Algebra Quantum Computing Lecture 2 Review of Linear Algebra Maris Ozols Linear algebra States of a quantum system form a vector space and their transformations are described by linear operators Vector spaces

More information

Methods for sparse analysis of high-dimensional data, II

Methods for sparse analysis of high-dimensional data, II Methods for sparse analysis of high-dimensional data, II Rachel Ward May 26, 2011 High dimensional data with low-dimensional structure 300 by 300 pixel images = 90, 000 dimensions 2 / 55 High dimensional

More information

1 Unitary representations of the Virasoro algebra

1 Unitary representations of the Virasoro algebra Week 5 Reading material from the books Polchinski, Chapter 2, 15 Becker, Becker, Schwartz, Chapter 3 Ginspargs lectures, Chapters 3, 4 1 Unitary representations of the Virasoro algebra Now that we have

More information

MATH 431: FIRST MIDTERM. Thursday, October 3, 2013.

MATH 431: FIRST MIDTERM. Thursday, October 3, 2013. MATH 431: FIRST MIDTERM Thursday, October 3, 213. (1) An inner product on the space of matrices. Let V be the vector space of 2 2 real matrices (that is, the algebra Mat 2 (R), but without the mulitiplicative

More information

Algorithmic Game Theory and Applications. Lecture 7: The LP Duality Theorem

Algorithmic Game Theory and Applications. Lecture 7: The LP Duality Theorem Algorithmic Game Theory and Applications Lecture 7: The LP Duality Theorem Kousha Etessami recall LP s in Primal Form 1 Maximize c 1 x 1 + c 2 x 2 +... + c n x n a 1,1 x 1 + a 1,2 x 2 +... + a 1,n x n

More information

Spanning and Independence Properties of Finite Frames

Spanning and Independence Properties of Finite Frames Chapter 1 Spanning and Independence Properties of Finite Frames Peter G. Casazza and Darrin Speegle Abstract The fundamental notion of frame theory is redundancy. It is this property which makes frames

More information

Representations of Totally Disconnected Groups

Representations of Totally Disconnected Groups Chapter 5 Representations of Totally Disconnected Groups Abstract In this chapter our goal is to develop enough of the representation theory of locally compact totally disconnected groups (or td groups

More information

Recall that any inner product space V has an associated norm defined by

Recall that any inner product space V has an associated norm defined by Hilbert Spaces Recall that any inner product space V has an associated norm defined by v = v v. Thus an inner product space can be viewed as a special kind of normed vector space. In particular every inner

More information

LINEAR ALGEBRA BOOT CAMP WEEK 4: THE SPECTRAL THEOREM

LINEAR ALGEBRA BOOT CAMP WEEK 4: THE SPECTRAL THEOREM LINEAR ALGEBRA BOOT CAMP WEEK 4: THE SPECTRAL THEOREM Unless otherwise stated, all vector spaces in this worksheet are finite dimensional and the scalar field F is R or C. Definition 1. A linear operator

More information

Institutionen för matematik, KTH.

Institutionen för matematik, KTH. Institutionen för matematik, KTH. Contents 7 Affine Varieties 1 7.1 The polynomial ring....................... 1 7.2 Hypersurfaces........................... 1 7.3 Ideals...............................

More information

Vector Spaces. Vector space, ν, over the field of complex numbers, C, is a set of elements a, b,..., satisfying the following axioms.

Vector Spaces. Vector space, ν, over the field of complex numbers, C, is a set of elements a, b,..., satisfying the following axioms. Vector Spaces Vector space, ν, over the field of complex numbers, C, is a set of elements a, b,..., satisfying the following axioms. For each two vectors a, b ν there exists a summation procedure: a +

More information

Applications of modular forms to partitions and multipartitions

Applications of modular forms to partitions and multipartitions Applications of modular forms to partitions and multipartitions Holly Swisher Oregon State University October 22, 2009 Goal The goal of this talk is to highlight some applications of the theory of modular

More information

Raising the Levels of Modular Representations Kenneth A. Ribet

Raising the Levels of Modular Representations Kenneth A. Ribet 1 Raising the Levels of Modular Representations Kenneth A. Ribet 1 Introduction Let l be a prime number, and let F be an algebraic closure of the prime field F l. Suppose that ρ : Gal(Q/Q) GL(2, F) is

More information

1 Mathematical preliminaries

1 Mathematical preliminaries 1 Mathematical preliminaries The mathematical language of quantum mechanics is that of vector spaces and linear algebra. In this preliminary section, we will collect the various definitions and mathematical

More information

Linear Algebra. Paul Yiu. Department of Mathematics Florida Atlantic University. Fall A: Inner products

Linear Algebra. Paul Yiu. Department of Mathematics Florida Atlantic University. Fall A: Inner products Linear Algebra Paul Yiu Department of Mathematics Florida Atlantic University Fall 2011 6A: Inner products In this chapter, the field F = R or C. We regard F equipped with a conjugation χ : F F. If F =

More information

Arithmetic properties of harmonic weak Maass forms for some small half integral weights

Arithmetic properties of harmonic weak Maass forms for some small half integral weights Arithmetic properties of harmonic weak Maass forms for some small half integral weights Soon-Yi Kang (Joint work with Jeon and Kim) Kangwon National University 11-08-2015 Pure and Applied Number Theory

More information

Differential operators on Jacobi forms and special values of certain Dirichlet series

Differential operators on Jacobi forms and special values of certain Dirichlet series Differential operators on Jacobi forms and special values of certain Dirichlet series Abhash Kumar Jha and Brundaban Sahu Abstract We construct Jacobi cusp forms by computing the adjoint of a certain linear

More information

Linear Algebra in Hilbert Space

Linear Algebra in Hilbert Space Physics 342 Lecture 16 Linear Algebra in Hilbert Space Lecture 16 Physics 342 Quantum Mechanics I Monday, March 1st, 2010 We have seen the importance of the plane wave solutions to the potentialfree Schrödinger

More information

Quantum NP - Cont. Classical and Quantum Computation A.Yu Kitaev, A. Shen, M. N. Vyalyi 2002

Quantum NP - Cont. Classical and Quantum Computation A.Yu Kitaev, A. Shen, M. N. Vyalyi 2002 Quantum NP - Cont. Classical and Quantum Computation A.Yu Kitaev, A. Shen, M. N. Vyalyi 2002 1 QMA - the quantum analog to MA (and NP). Definition 1 QMA. The complexity class QMA is the class of all languages

More information

MATH 304 Linear Algebra Lecture 20: The Gram-Schmidt process (continued). Eigenvalues and eigenvectors.

MATH 304 Linear Algebra Lecture 20: The Gram-Schmidt process (continued). Eigenvalues and eigenvectors. MATH 304 Linear Algebra Lecture 20: The Gram-Schmidt process (continued). Eigenvalues and eigenvectors. Orthogonal sets Let V be a vector space with an inner product. Definition. Nonzero vectors v 1,v

More information

Lecture 3: Review of Linear Algebra

Lecture 3: Review of Linear Algebra ECE 83 Fall 2 Statistical Signal Processing instructor: R Nowak Lecture 3: Review of Linear Algebra Very often in this course we will represent signals as vectors and operators (eg, filters, transforms,

More information

1 Fourier transform as unitary equivalence

1 Fourier transform as unitary equivalence Tel Aviv University, 009 Intro to functional analysis 1 1 Fourier transform as unitary equivalence 1a Introduction..................... 1 1b Exponential map................... 1c Exponential map as an

More information

Lecture 3: Review of Linear Algebra

Lecture 3: Review of Linear Algebra ECE 83 Fall 2 Statistical Signal Processing instructor: R Nowak, scribe: R Nowak Lecture 3: Review of Linear Algebra Very often in this course we will represent signals as vectors and operators (eg, filters,

More information

Topics in Representation Theory: Fourier Analysis and the Peter Weyl Theorem

Topics in Representation Theory: Fourier Analysis and the Peter Weyl Theorem Topics in Representation Theory: Fourier Analysis and the Peter Weyl Theorem 1 Fourier Analysis, a review We ll begin with a short review of simple facts about Fourier analysis, before going on to interpret

More information

Let p 2 ( t), (2 t k), we have the scaling relation,

Let p 2 ( t), (2 t k), we have the scaling relation, Multiresolution Analysis and Daubechies N Wavelet We have discussed decomposing a signal into its Haar wavelet components of varying frequencies. The Haar wavelet scheme relied on two functions: the Haar

More information

Shimura Degrees, New Modular Degrees, and Congruence Primes

Shimura Degrees, New Modular Degrees, and Congruence Primes Shimura Degrees, New Modular Degrees, and Congruence Primes Alyson Deines CCR La Jolla October 2, 2015 Alyson Deines (CCR La Jolla) Shimura Degrees, New Modular Degrees, and Congruence Primes 1 / 34 Elliptic

More information

Lecture 5. Ch. 5, Norms for vectors and matrices. Norms for vectors and matrices Why?

Lecture 5. Ch. 5, Norms for vectors and matrices. Norms for vectors and matrices Why? KTH ROYAL INSTITUTE OF TECHNOLOGY Norms for vectors and matrices Why? Lecture 5 Ch. 5, Norms for vectors and matrices Emil Björnson/Magnus Jansson/Mats Bengtsson April 27, 2016 Problem: Measure size of

More information

Methods for sparse analysis of high-dimensional data, II

Methods for sparse analysis of high-dimensional data, II Methods for sparse analysis of high-dimensional data, II Rachel Ward May 23, 2011 High dimensional data with low-dimensional structure 300 by 300 pixel images = 90, 000 dimensions 2 / 47 High dimensional

More information

v = v 1 2 +v 2 2. Two successive applications of this idea give the length of the vector v R 3 :

v = v 1 2 +v 2 2. Two successive applications of this idea give the length of the vector v R 3 : Length, Angle and the Inner Product The length (or norm) of a vector v R 2 (viewed as connecting the origin to a point (v 1,v 2 )) is easily determined by the Pythagorean Theorem and is denoted v : v =

More information

arxiv: v3 [math.nt] 28 Jul 2012

arxiv: v3 [math.nt] 28 Jul 2012 SOME REMARKS ON RANKIN-COHEN BRACKETS OF EIGENFORMS arxiv:1111.2431v3 [math.nt] 28 Jul 2012 JABAN MEHER Abstract. We investigate the cases for which products of two quasimodular or nearly holomorphic eigenforms

More information

Review of linear algebra

Review of linear algebra Review of linear algebra 1 Vectors and matrices We will just touch very briefly on certain aspects of linear algebra, most of which should be familiar. Recall that we deal with vectors, i.e. elements of

More information

2 Arithmetic. 2.1 Greatest common divisors. This chapter is about properties of the integers Z = {..., 2, 1, 0, 1, 2,...}.

2 Arithmetic. 2.1 Greatest common divisors. This chapter is about properties of the integers Z = {..., 2, 1, 0, 1, 2,...}. 2 Arithmetic This chapter is about properties of the integers Z = {..., 2, 1, 0, 1, 2,...}. (See [Houston, Chapters 27 & 28]) 2.1 Greatest common divisors Definition 2.16. If a, b are integers, we say

More information

arxiv: v1 [math.nt] 15 Mar 2012

arxiv: v1 [math.nt] 15 Mar 2012 ON ZAGIER S CONJECTURE FOR L(E, 2): A NUMBER FIELD EXAMPLE arxiv:1203.3429v1 [math.nt] 15 Mar 2012 JEFFREY STOPPLE ABSTRACT. We work out an example, for a CM elliptic curve E defined over a real quadratic

More information